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内部出版物
Wiley电子期刊(3)
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Springer电子图书(2)
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Elsevier电子期刊(227)
在“
Elsevier电子期刊
”中,
命中:
227
条,耗时:0.0999532 秒
在所有数据库中总计命中:
461
条
1.
An integrated approach to estimate storage reliability with initial failures based on E-
Bayesian
estimates
作者:
Yongjin Zhang
a
;
IIEE_YJZhang@163.com
;
Ming Zhao
b
;
Shitao Zhang
a
;
Jiamei Wang
a
;
Yanjun Zhang
c
关键词:
Storage reliability
;
Non
-parameter (NP) estimation
;
E-
Bayesian
estimation
;
Initial reliability
;
Least squares (LS) estimation
;
Maximum likelihood (ML) estimation
刊名:Reliability Engineering & System Safety
出版年:2017
2.
A general framework for the estimation of analytical fragility functions based on multivariate probability distributions
作者:
Irmela Zentner
;
1
;
irmela.zentner@edf.fr
关键词:
Fragility curve
;
Copula
;
Performance based earthquake engineering
;
Conditional probability
;
Time history analysis
刊名:Structural Safety
出版年:2017
3.
Non
-
parametric
Bayesian
inference for continuous density hidden Markov mixture model
作者:
Najmeh Bathaee
bathaee@aut.ac.ir
;
Hamid Sheikhzadeh
;
hsheikh@aut.ac.ir
关键词:
Non
-
parametric
Bayesian
modelling
;
Continuous density HMM mixture model
;
Dirichlet process mixture model
;
Tridiagonal covariance
刊名:Statistical Methodology
出版年:2016
4.
Mixed noise removal based on a novel
non
-
parametric
Bayesian
sparse outlier model
作者:
Peixian ZhuangAuthor Vitae
;
Yue HuangAuthor Vitae
;
Delu ZengAuthor Vitae
;
Xinghao Ding
;
dxh@xmu.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Mixed noise removal
;
Non
-
parametric
Bayesian
model
;
Spike-slab
;
Automatic parameter estimation
刊名:Neurocomputing
出版年:2016
5.
Bayesian
non
-
parametric
methods for dynamic state-noise covariance matrix estimation: Application to target tracking
作者:
Clé
;
ment Magnant
a
;
b
;
clement.magnant@fr.thalesgroup.com" class="auth_mail" title="E-mail the corresponding author
;
clement.magnant@ims-bordeaux.fr" class="auth_mail" title="E-mail the corresponding author
;
Audrey Giremus
b
;
audrey.giremus@ims-bordeaux.fr" class="auth_mail" title="E-mail the corresponding author
;
Eric Grivel
b
;
eric.grivel@ims-bordeaux.fr" class="auth_mail" title="E-mail the corresponding author
;
Laurent Ratton
c
;
laurent.ratton@fr.thalesgroup.com" class="auth_mail" title="E-mail the corresponding author
;
Bernard Joseph
a
;
bernard.joseph@fr.thalesgroup.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Bayesian
non
-
parametric
methods
;
Dirichlet process
;
Particle filter
;
Covariance matrix estimation
;
Optimal proposal distribution
;
Target tracking
刊名:Signal Processing
出版年:2016
6.
Sparse-grid, reduced-basis
Bayesian
inversion:
Non
affine-
parametric
non
linear equations
作者:
Peng Chen
a
;
peng@ices.utexas.edu" class="auth_mail" title="E-mail the corresponding author
;
Christoph Schwab
b
;
christoph.schwab@sam.math.ethz.ch" class="auth_mail" title="E-mail the corresponding author
关键词:
Bayesian
inversion
;
Sparse grid
;
Reduced basis
;
Generalized empirical interpolation
;
High-fidelity Petrov&ndash
;
Galerkin Finite Elements
;
A-priori and a-posteriori error estimates
刊名:Journal of Computational Physics
出版年:2016
7.
A
Bayesian
non
-
parametric
approach to asymmetric dynamic conditional correlation model with application to portfolio selection
作者:
Audronė Virbickaitė
;
audrone.virbickaite@uc3m.es" class="auth_mail" title="E-mail the corresponding author
;
M. Concepció
;
n Ausí
;
n
1
;
concepcion.ausin@uc3m.es" class="auth_mail" title="E-mail the corresponding author
;
Pedro Galeano
2
;
pedro.galeano@uc3m.es" class="auth_mail" title="E-mail the corresponding author
关键词:
Bayesian
analysis
;
Dirichlet process mixtures
;
DCC
;
Markov chain Monte Carlo
;
Multivariate GARCH
;
Portfolio allocation
刊名:Computational Statistics & Data Analysis
出版年:2016
8.
Robust
Bayesian
non
-
parametric
dictionary learning with heterogeneous Gaussian noise
作者:
Yi Wang
;
a
;
b
;
yiwangcb@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Bin Li
a
;
Yang Wang
a
;
Fang Chen
a
;
b
;
Bang Zhang
a
;
Zhidong Li
a
关键词:
Heterogeneous noise
;
Bayesian
nonparametric
;
Dictionary learning
刊名:Computer Vision and Image Understanding
出版年:2016
9.
Non
-
parametric
Bayesian
models of response function in dynamic image sequences
作者:
Ondřej Tichý
;
;
otichy@utia.cas.cz" class="auth_mail" title="E-mail the corresponding author
;
Vá
;
clav &Scaron
;
mí
;
dl
关键词:
Response function
;
Blind source separation
;
Dynamic medical imaging
;
Probabilistic models
;
Bayesian
methods
刊名:Computer Vision and Image Understanding
出版年:2016
10.
Bayesian
non
-
parametric
gradient histogram estimation for texture-enhanced image deblurring
作者:
Chunwei Song
a
;
wolvesandme@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Hong Deng
b
;
cshdeng@163.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Huijun Gao
a
;
hjgao@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Hongzhi Zhang
b
;
zhanghz0451@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Wangmeng Zuo
b
;
cswmzuo@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Image deblurring
;
Hyper-Laplacian
;
Gradient histogram matching
;
Gaussian Processes regression
刊名:Neurocomputing
出版年:2016
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